Robotics & Machine Learning Daily News2024,Issue(Dec.24) :15-16.

Study Data from Chinese Academy of Agricultural Sciences Provide New Insights in to Machine Learning (A Novel Framework for Multilayer Soil Moisture Estimation With High Spatio-temporal Resolution Based On Data Fusion and Automated Machine …)

Robotics & Machine Learning Daily News2024,Issue(Dec.24) :15-16.

Study Data from Chinese Academy of Agricultural Sciences Provide New Insights in to Machine Learning (A Novel Framework for Multilayer Soil Moisture Estimation With High Spatio-temporal Resolution Based On Data Fusion and Automated Machine …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Xinxiang, People’s Re public of China, by NewsRx editors, research stated, “High spatiotemporalresolu tion monitoring of multi-layer soil moisture (SM) is crucial for optimizing agri culturalwater management and precision irrigation strategy. However, achieving high temporal resolution at a 30m spatial scale remains challenging given the c onfine of current satellite sensors.”

Key words

Xinxiang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Agricul tural Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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